Modeling of solid waste composting under uncertainty

J. B. Li, G. H. Huang, A. Chakma, G. M. Zeng, Y. F. Huang

Research output: Chapter in Book/Conference paperConference paperpeer-review

3 Citations (Scopus)


Effectiveness in reflecting uncertainties in a modeling process is critical for ensuring forecasting accuracy and improving process efficiency. However, few previous studies made efforts toward incorporating uncertainties into composting modeling systems. The purpose of this study is to develop a methodology based on Monte Carlo simulation and factorial design to reflect uncertainties in the modeling process. The uncertain parameters under consideration include temperature, moisture content, free air space, and oxygen concentration. Monte Carlo simulations are undertaken based on composting kinetic simulator, and a set of 24 factorial experiments are conducted to examine the effects of the input uncertainties and their interactions. The results indicate that complexities of the system uncertainties have been effectively addressed through the developed modeling approach. The proposed method offers an effective tool for composting process simulation and control under uncertainty.

Original languageEnglish
Title of host publicationWaste Management and the Environment
EditorsD. Almorza, D. Almorza, D. Sales, V. Popov
Number of pages10
Publication statusPublished - Dec 2002
Externally publishedYes
EventFirst International Conference on Waste Management and the Environment, Waste Management 2002 - Cadiz, Spain
Duration: 4 Sep 20026 Sep 2002

Publication series

NameWaste Management and the Environment


ConferenceFirst International Conference on Waste Management and the Environment, Waste Management 2002


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